Journals / Adam Akademi Sosyal Bilimler Dergisi / 2014 / Cilt: 4 - Sayı: 2

The Relationship Between Sociability and Household Debt

Pages
27–58
Publication Date
2014-12-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Keywords: Household Finance, Social Interaction, Household Debt, European Debt Crisis

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Öz This paper examines the influence of social interaction on household debt with using the data from the Survey of Health, Ageing and Retirement in Europe.
📊
Key Findings & Data:I investigate whether sociability (participation in social activities like charity work, sport club and educational course) is related with the tendency of holding debt and the amount of debt held.
💡
Conclusion & Impact:Keywords: Household Finance, Social Interaction, Household Debt, European Debt Crisis
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Anahtar Kelimeler

Özet

Öz This paper examines the influence of social interaction on household debt with using the data from the Survey of Health, Ageing and Retirement in Europe. I investigate whether sociability (participation in social activities like charity work, sport club and educational course) is related with the tendency of holding debt and the amount of debt held. For my total sample consisting of thirteen European countries, I find that sociability has sizeable positive effects on both mortgage debt and non-mortgage debt. It shows that sociable households are more likely to borrow and have greater amounts conditional on borrowing compared to the others. Nevertheless, my country-level findings present a considerable variation across countries in their social effects on debt. Keywords: Household Finance, Social Interaction, Household Debt, European Debt Crisis

🔖

Cite This Article

ALTUNDERE, M. (2014). The Relationship Between Sociability and Household Debt. Adam Akademi Sosyal Bilimler Dergisi, Cilt: 4 - Sayı: 2, 27–58. https://ajindex.com/articles/5993

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (10)

  1. Allenby, Greg M. and Sha Yang (2003), “Modeling Interdependent Consumer Preferences”, Journal of Marketing Research 40(3):282-294.
  2. Becker, Gary S. and Luis Rayo (2006), “Peer Comparisons and Consumer Debt”, University of Chicago Law Review 73(1):231-248.
  3. Bertola, Giuseppe and Stefan Hochguertel (2007), “Household Debt and Credit: Economic Issues and Data Problems”, Economic Notes 36(2):115-146.
  4. Beshears, John, James J. Choi, David Laibson, Brigitte C. Madrian and Katherine L. Milkman (2013), “The Effect of Providing Peer Information on Retirement Savings Decisions”, Journal of Finance forthcoming. Binder, Michael and M. Hashem Pesaran (2001), “Life-Cycle Consumption under Social Interactions”, Journal of Economic Dynamics & Control 25:35-83.
  5. Börsch-Supan, Axel, Agar Brugiavini, Hendrik Jürges, Arie. Kapteyn, Johan Mackenbach, Johannes Siegrist and Guglielmo Weber (Eds.), (2008), First results from the Survey of Health, Ageing and Retirement in Europe (2004-2007).
  6. Starting the Longitudinal Dimension, Mannheim: Mannheim Research Institute for the Economics of Aging. Borsch-Supan, Axel, Martina Brandt, Christian Hunkler, Thorsten Kneip, Julie Korbmacher, Frederic Malter, Barbara Schaan, Stephanie Stuck and Sabrina Zuber (2013), “Data Resource Profile: The Survey of Health, Ageing and Retirement in Europe (SHARE)”, International Journal of Epidemiology 42(4):992-1001.
  7. Brock, William A. and Steven N. Durlauf (2001), “Interactions-Based Models”, In James J. Heckman and Edward E. Leamer (Eds.), Handbook of Econometrics, 5:3297-3380, Amsterdam: North-Holland. Brown, Jeffrey R., Zoran Ivkovich, Paul A. Smith and Scott Weisbenner (2008), “Neighbors Matter: Causal Community Effects and Stock Market Participation”, Journal of Finance 63:1509- 1531. Brown, Sarah, Pulak Ghosh and Karl Taylor (2014), “Household Finances and Social Interaction: Bayesian Analysis of Household Panel Data”, Review of Income and Wealth forthcoming. Burbidge, John B., Lonnie Magee and A. Leslie Robb (1988), “Alternative Transformations to Handle Extreme Values of the Dependent Variable”, Journal of the American Statistical Association 83:123-127.
  8. Cox, Donald and Tullio Jappelli (1993), “The Effect of Borrowing Constraints on Consumer Liabilities”, Journal of Money, Credit, and Banking 25(2):197–213.
  9. Crook, Jonathan (2001), “The Demand for Household Debt in the USA: Evidence from the 1995 Survey of Consumer Finance”, Applied Financial Economics 11(1):83-91.
  10. Del Rio, Ana and Garry Young (2006),